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POST
/
v3
/
async
/
kling-v1.6-t2v
KLING V1.6 Text to Video
curl --request POST \
  --url https://api.novita.ai/v3/async/kling-v1.6-t2v \
  --header 'Authorization: <authorization>' \
  --header 'Content-Type: <content-type>' \
  --data '
{
  "mode": "<string>",
  "prompt": "<string>",
  "negative_prompt": "<string>",
  "duration": 123,
  "guidance_scale": 123
}
'
{
  "task_id": "<string>"
}
KLING V1.6 Text to Video is an AI text-to-video generation model developed by the Kuaishou AI Team. It transforms textual descriptions into dynamic 5-second videos at 720p resolution, offering high-quality visual outputs with enhanced motion and semantic understanding.
This is an asynchronous API; only the task_id will be returned. You should use the task_id to request the Task Result API to retrieve the video generation results.

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Request Headers

ā€‹
Content-Type
string
required
Supports: application/json
ā€‹
Authorization
string
required
Bearer authentication format, for example: Bearer {{API Key}}.

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Request Body

ā€‹
mode
string
The mode of the video generation.Supports:
  • Standard: fast creation, lower cost, and generate 720p video.
Default: Standard.
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prompt
string
required
Prompt text required to guide the generation.Range: 1 <= x <= 2000.
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negative_prompt
string
Negative prompts instruct the model on what elements to avoid generating.Range: 0 <= x <= 2000.
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duration
integer
The length of the generated video in seconds. Default: 5.
Optional values: 5, 10
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guidance_scale
float
Guidance scale parameter controls how closely the generated content follows the prompt.Range: 0 <= x <= 1. Default: 0.5.

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Response

ā€‹
task_id
string
required
Use the task_id to request the Task Result API to retrieve the generated outputs.

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Example

Here is an example of how to use the KLING V1.6 Text to Video API.
  1. Generate a task_id by sending a POST request to the KLING V1.6 Text to Video API.
Request: 
curl --location 'https://api.novita.ai/v3/async/kling-v1.6-t2v' \
--header 'Authorization: Bearer {{API Key}}' \
--header 'Content-Type: application/json' \
--data '{
    "mode": "Standard", 
    "prompt": "A cute dog standing up from a sitting position while wearing sunglasses",
    "negative_prompt": "low quality",
    "guidance_scale": 0.6,
}'
Response: 
{
    "task_id": "{Returned Task ID}"
}
  1. Use task_id to get output videos.
HTTP status codes in the 2xx range indicate that the request has been successfully accepted, while status codes in the 5xx range indicate internal server errors. You can get videos url in videos of response. Request: 
curl --location --request GET 'https://api.novita.ai/v3/async/task-result?task_id={Returned Task ID}' \
--header 'Authorization: Bearer {{API Key}}'
Response: 
{
    "task": {
        "task_id": "{Returned Task ID}",
        "task_type": "KLING_V16_T2V_STANDARD",
        "status": "TASK_STATUS_SUCCEED",
        "reason": "",
        "eta": 0,
        "progress_percent": 100
    },
    "images": [],
    "videos": [
        {
            "video_url": "{The URL of the generated video}",
            "video_url_ttl": "3600",
            "video_type": "mp4"
        }
    ]
}
Video files:
Last modified on May 21, 2025